
Description
seaborn is an agent skill for creating statistical visualisations with Seaborn, a Python library built on matplotlib that works directly with pandas data. It covers distributions, relationships, categorical comparisons, regression displays and pair plots, and it supports automatic statistical estimation and complex multi-panel figures with little code. Use it for dataset-oriented plotting and multivariate analysis. The skill was reviewed on 1 October 2026 against the stable Seaborn 0.13.2 documentation and released source. Native checks used Python 3.13, Seaborn 0.13.2, Matplotlib 3.11.2, pandas 3.0.6, NumPy 2.5.3, SciPy 1.18.1 and statsmodels 0.15.0. The official documentation requires NumPy, pandas and matplotlib, while SciPy, statsmodels and fastcluster are optional for some advanced statistics and clustering. The tested stack emits deprecation warnings from pandas Copy-on-Write and Matplotlib, and the skill notes that plots which work now are not guaranteed to work with future pandas 4 or Matplotlib 3.13. The skill recommends a reproducible install of the pinned version, with the statistical extra when you need it.…
Highlights
- Distribution and relationship plots
- Categorical and regression displays
- Pair plots and multi-panel figures
- Pandas-friendly statistical plotting
- Reviewed on Seaborn 0.13.2
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seaborn FAQ
What does Seaborn plot?
Distributions, relationships, categorical comparisons, regression, pair plots and multi-panel figures.
Which version was reviewed?
Seaborn 0.13.2, against the stable documentation and released source.
Do I need the statistics extra?
Only for some advanced statistics and clustering. Its dependencies are optional for those.
Will the plots keep working on future releases?
The skill says current success does not guarantee compatibility with pandas 4 or Matplotlib 3.13.
How do I install it?
Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill seaborn.
Is it checked for security?
Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk.
What are the best seaborn alternatives?
Popular alternatives to seaborn include matplotlib, pydeseq2 and pymc. See all seaborn alternatives






